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<h1>About ACoM</h1>

    <p>
        Analysis of metabolic pathways is an essential step to understand behaviours of such pathways.
        The theoritial approach based on <b>elementary flux modes</b> (efm) studies structural properties of a pathway.
        Searching efms in a metabolic pathway usually leads to a combinatorial explosion of their number. <br/>
        <b>ACoM</b> is a classification method of efms.
        It helps to interpret large sets of efms using <b>agglomeration of common motifs</b> shared by these efm.
        Common motifs reveal biological functions and links between reactions.
        The versions in C has to be developped to allow computation of huge sets of efm.
    </p>

    <p>
        <b>Author</b> : François Vallée<br/>
        <b>Submission date</b> : ven 18 jui 2008 12:19:33 UTC<br/>
        <b>Licence</b> : GNU General Public License v3 or later<br/>
        <b>Development status</b> : 5 - Production/Stable<br/>
        <b>Website</b> : <a href="http://savannah.nongnu.org/projects/acom-c/" target="_blank">http://savannah.nongnu.org/projects/acom-c/</a>
    </p>
    <br/>

<h1>About JACoMode</h1>
    <p>
        ACoM is only available in a shell version.
        VisuACoM provides a graphical frontend for an easier use and an user-friendly layout for the results.
    </p>

    <p>This project is based upon the JEE technology by Sun Microsystems. It also uses the following libraries:    </p>

    <ol>
        <li>Apache Commons libraries</li>
        <li>GraphStream</li>
        <li>CeWolf</li>
    </ol>
<br/>

<p>This GUI was developped under the supervision of François Vallée, as part of the bioinformatics master curriculum, by Marianne Dussart, Nicolas Fontaine, Florence Maurier, Jonathan Mercier and Louise-Amélie Schmitt.</p>

<p>We would like to thank Marie Beurton-Aimar, François Vallée and Sophie Colombié for their support.</p>
